1. Generalization error rates in kernel regression: the crossover from the noiseless to noisy regime*This article is an updated version of: Cui H, Loureiro B, Krzakala F and Zdeborová L 2021 Generalization error rates in kernel regression: the crossover from the noiseless to noisy regime Advances in Neural Information Processing Systems vol 34 ed M Ranzato, A Beygelzimer, Y Dauphin, P S Liang and J Wortman Vaughan (New York: Curran Associates) pp 10131–43. (1st November 2022) Authors: Cui, Hugo; Loureiro, Bruno; Krzakala, Florent; Zdeborová, Lenka Journal: Journal of statistical mechanics Issue: (2022:Nov.) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗